drag prediction using nsu3d (unstructured multigrid ns solver)

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Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver) Dimitri J. Mavriplis National Institute of Aerospace Hampton, VA 23666 (USA)

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Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver). Dimitri J. Mavriplis National Institute of Aerospace Hampton, VA 23666 (USA). NSU3D Description. Unstructured Reynolds Averaged Navier-Stokes solver Vertex-based discertization Mixed elements (prisms in boundary layer) - PowerPoint PPT Presentation

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Page 1: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

Drag Prediction Using NSU3D(Unstructured Multigrid NS Solver)

Dimitri J. Mavriplis

National Institute of Aerospace

Hampton, VA 23666 (USA)

Page 2: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

NSU3D Description

• Unstructured Reynolds Averaged Navier-Stokes solver– Vertex-based discertization– Mixed elements (prisms in boundary layer)– Edge data structure– Matrix artificial dissipation

• Option for upwind scheme with gradient reconstruction

– No cross derivative viscous terms• Thin layer in all 3 directions

Page 3: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

Solver Description (cont’d)

• Spalart-Allmaras turbulence model– (original published form)– Optional k-omega model

• Transition specified by zeroing out production term in turbulence model– More robust than S-A trip term– Based on surface patches

• Laminar patches• Laminar normal distance

Page 4: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

Solution Strategy

• Jacobi/Line Preconditioning– Line solves in boundary layer regions

• Releives aspect ratio stiffness

• Agglomeration multigrid– Fast grid independent convergence rates

• Parallel implementation– MPI/OpenMP hybrid model

• DPW runs: MPI on 16 cpu cluster

Page 5: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

Performance• Convergence in 500

multigrid cycles– Grid independent– Poor convergence for

negative alpha nacelle cases

• 16 Pentium IV 1.7GHz: Intermediate grids– 5 hours for 3M pt grid– 7.5 hours for 5M pt grid

Page 6: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

Grid Generation

• Runs based on NASA Langley supplied VGRIDns unstructured grids

• Tetrahedra in Boundary Layer merged into prismatic elements

• Sequence of 3 grids for each configuration

• Transition based on surface patches

Page 7: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

Grid Specifications

Configuration Coarse Medium Fine

Wing-Body

Points

Cells

1,121,301

6,558,758

3,010307

17,635,283

9,133,352

53,653,279

WB+Nacelle

Points

Cells

1,827,470

10,715,204

4,751,207

27,875,222

10,278,588

60,412,948

Page 8: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

Intermediate Grid (WB: 3M pts)

• Transition specified by laminar patches

Page 9: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

Intermediate Grid (WB: 3M pts)

• Transition specified by laminar patches

Page 10: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

Intermediate Grid (WBN: 5M pts)

• Transition specified by laminar patches

Page 11: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

Solution on Intermediate Grid (CL=0.5)

• Matching CL

Page 12: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

Solution on Intermediate Grid (CL=0.5)

• Matching Incidence

Page 13: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

Solution on Intermediate Grid (CL=0.5)

• Matching CL

Page 14: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

Solution on Intermediate Grid (CL=0.5)

• Matching Incidence

Page 15: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

Lift vs. Incidence (Wing-Body)

• Large Lift overprediction (incidence shift)

Page 16: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

Surface Pressure at y/b=0.411(WB)

• Solution converges with grid refinement• Poor match with experiment for specified CL

• Better match for specified incidence

Page 17: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

Lift vs. Incidence (WB-Nacelle)

• Large Lift overprediction (incidence shift)

Page 18: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

Surface Pressure at y/b=0.411(WBNacelle)

• Solution converges with grid refinement• Poor match with experiment for specified CL

• Better match for specified incidence

Page 19: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

Drag Polar (Wing-Body)

• Coarse grid inadequate• Correct shape, slight underprediction

Page 20: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

Drag Polar (Wing-Body-Nacelle)

• Coarse grid inadequate• Correct shape, slight underprediction• Convergence issues at negative incidences

Page 21: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

Moment (Wing-Body)

• Poor moment prediction– Related to incidence shift

Page 22: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

Moment (Wing-BodyNacelle)

• Poor moment prediction– Related to incidence shift

Page 23: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

Incremental Drag

• Within 2 to 4 counts at CL=0.5• Transition effects cancel out• More discrepancies at lower lift

Page 24: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

Incremental Moment

• Good prediction in spite of poor absolute values– Cross over well predicted– Discrepancies at lower lift

Page 25: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

Drag Rise Curves

• Medium grids, transition• General trend, Drag underpredicted• Cl vs incidence issues

Page 26: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

Flow Details

• Separation bubble on WB-Nacelle (fine grid)

Page 27: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

Flow Details

• Strong shock inboard pylon (-2 deg)• Ahead of specified transition region on lower wing

Page 28: Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)

Conclusions

• CL – Incidence Issues

• Better success at prediction of increments

• Grid Generation approach may be more important than actual resolution

• Aero is still a tough problem– Worthy of funding